We applied an electrochemical SEI growth model [1]} to predict active lithium loss in 62 automotive grade batteries cycled with 28 different protocols [2]}. Three protocols and the open circuit voltage curve of the anode suffice to parametrize the state of charge, time, current and temperature dependence of the model. The validation with the remaining 25 protocols shows remarkable accordance of predicted and measured active lithium loss with a global root-mean-squared error of 1.28%.
Thus, our methodology reduces the set of experiments to parametrize a global aging prediction.
